摘要
随着建筑规模的迅速发展,火灾隐患监测的难度也大大增加,对火灾自动报警系统性能的要求也越来越高。火灾自动报警系统设计性能评价是对大型复杂火灾自动报警系统设计方案进行论证,判断系统满足设计目标的程度。分析了21个火灾自动报警系统设计性能二级评价指标,利用偏好聚合算法分析二级评价指标,得到评价值,并利用稀疏表示算法建立了火灾自动报警系统设计性能评价模型。以优、良、中、合格和不合格5种等级火灾自动报警系统为研究对象,每种系统随机选取20套作为训练样本,设计性能为优的系统作为测试样本,组成稀疏表示的数据字典,测试样本在数据字典上具有最小投影误差的类,即为测试样本所属的等级。通过MATLAB软件仿真计算,验证了模型的有效性。
With the rapid development of the construction, the monitoring difficulty of the fire risk and requirements on the performance of automatic fire alarm system are also increasing. Design performance sessment tests the design scheme of large complex automatic fire alarm system and determines the exten which the system satisfies the design objective. This paper analyzes 21 secondary assessment indexes of automatic fire alarm system, and obtains evaluated values by preference aggregation algorithm. Then, paper establishes the performance assessment model by sparse representation algorithm. Next, the paper takes 5 kinds of grades of automatic fire alarm systems as the research object,including excellent,good,me- dium, qualified and unqualified. 20 sets of each system are randomly selected as the training samples, and excellent systems are selected as the test samples to form the data dictionary based on sparse representa tion. The grade of the test sample is the class with the smallest projection error in the data dictionary. Finally,the paper verifies the validity of the model by MATLAB simulation.
出处
《安全与环境工程》
CAS
2016年第4期164-168,共5页
Safety and Environmental Engineering
基金
沈阳航空航天大学大学生创新训练计划项目(DS504101)
关键词
火灾自动报警系统
设计性能评价
稀疏表示
偏好聚合
automatic fire alarm system
design performance assessment
sparse representation
preference aggregation
